一种无人机侦察航迹分层规划方法
发布时间：2018-11-29 09:13
【摘要】：给出了一个通用可行的无人机侦察航迹分层规划方法,并应用到第十三届"华为杯"全国研究生数学建模竞赛A题第一问中.将无人机侦察航迹规划问题划分为四个层次,从上至下分别是目标群间侦察顺序优化,目标群内各目标侦察顺序优化,侦察点位优化,转弯设计,依次求解获得侦察航迹.通过分层解算方法既有效控制了算法复杂度,又能在确保满足复杂约束的同时优化无人机在敌方雷达探测区域内的暴露时间.
[Abstract]:In this paper, a general and feasible hierarchical planning method for UAV reconnaissance track is presented and applied to the first question of question A of the 13th "Huawei Cup" National Graduate Mathematical Modeling Competition. The problem of UAV reconnaissance track planning is divided into four levels, from top to bottom, the sequence optimization of reconnaissance among target groups, the optimization of reconnaissance sequence of each target in the target group, the optimization of reconnaissance point position, the design of turn, and the solution to obtain the reconnaissance track in turn. The hierarchical algorithm not only effectively controls the complexity of the algorithm, but also optimizes the exposure time of UAV in the radar detection area of the enemy while satisfying the complex constraints.
【作者单位】： 火箭军工程大学理学院;火箭军工程大学初级指挥学院;火箭军工程大学六系;
【分类号】：O221
本文编号：2364591
[Abstract]:In this paper, a general and feasible hierarchical planning method for UAV reconnaissance track is presented and applied to the first question of question A of the 13th "Huawei Cup" National Graduate Mathematical Modeling Competition. The problem of UAV reconnaissance track planning is divided into four levels, from top to bottom, the sequence optimization of reconnaissance among target groups, the optimization of reconnaissance sequence of each target in the target group, the optimization of reconnaissance point position, the design of turn, and the solution to obtain the reconnaissance track in turn. The hierarchical algorithm not only effectively controls the complexity of the algorithm, but also optimizes the exposure time of UAV in the radar detection area of the enemy while satisfying the complex constraints.
【作者单位】： 火箭军工程大学理学院;火箭军工程大学初级指挥学院;火箭军工程大学六系;
【分类号】：O221
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